Wikipedia Scraper
Pricing
Pay per usage
Go to Apify Store
Wikipedia Scraper
Extract Wikipedia article data including content, references, categories, and infobox data. Build knowledge bases, research databases, and educational content from the world's largest encyclopedia.
Pricing
Pay per usage
Rating
0.0
(0)
Developer
fatih dağüstü
Maintained by Community
Actor stats
0
Bookmarked
2
Total users
1
Monthly active users
3 days ago
Last modified
Categories
Share
Scrape Wikipedia articles, summaries, and search results in any language. Extract structured content, images, categories, linked articles, and coordinates.
Features
- Search — Find articles by keyword
- Full Articles — Sections, categories, linked articles, images
- Summaries — Quick extracts with images and descriptions
- Multi-language — 300+ Wikipedia editions (en, de, fr, es, ja, tr, etc.)
Input
| Field | Type | Description |
|---|---|---|
scrapeType | string | search, articles, summaries |
searchQuery | string | Search term |
articleTitles | array | Article titles or Wikipedia URLs |
language | string | Language code (default: en) |
maxItems | number | Maximum results (default: 50) |
Output Example
{"type": "article","title": "Artificial intelligence","pageId": 233488,"url": "https://en.wikipedia.org/wiki/Artificial_intelligence","description": "Intelligence of machines","extract": "Artificial intelligence (AI) is intelligence demonstrated by machines...","image": "https://upload.wikimedia.org/...","categories": ["Artificial intelligence", "Computer science"],"linkedArticles": ["Machine learning", "Deep learning"],"lastModified": "2024-01-15T10:30:00Z"}
Use Cases
- Research — Quick data gathering on any topic
- Knowledge Graphs — Build structured knowledge bases
- Content Creation — Generate fact-based articles
- Education — Create learning materials
- NLP Training — Build text corpora and datasets
Cost
Uses Pay Per Event pricing. Each scraped article counts as one result.